Karin Paiha
Impact in
- Cell Biology top 5%
- Cellular transport and secretion
- Proteoglycans and glycosaminoglycans research
- Hippo pathway signaling and YAP/TAZ
- Developmental Neuroscience top 5%
- Neurogenesis and neuroplasticity mechanisms
Papers in
-
- Cellular transport and secretion 3
- Hippo pathway signaling and YAP/TAZ 2
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- Glycosylation and Glycoproteins Research 1
- Ubiquitin and proteasome pathways 1
- Co-authors
- Lukas A. Huber (6 shared papers)Hartmut Beug (1 shared paper)Christoph Schwärzler (1 shared paper)Heinz Schwarz (1 shared paper)Ursula Günthert (1 shared paper)Thomas Harder (1 shared paper)Volker Gerke (1 shared paper)Snezhana Oliferenko (1 shared paper)
- Journals
- Journal of Biological Chemistry (2 papers)The Journal of Cell Biology (1 paper)EMBO Reports (1 paper)Cell (1 paper)Journal of Investigative Dermatology (1 paper)
- Partner nations
- AustriaGermanyUnited States
In The Last Decade
Karin Paiha
9 papers receiving 917 citations
Peers
Comparison fields: 5 of 84
- Cell Biology 425
- Developmental Neuroscience 83
- Cellular and Molecular Neuroscience 254
- Immunology and Allergy 75
- Molecular Biology 616
Countries citing papers authored by Karin Paiha
This map shows the geographic impact of Karin Paiha's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Karin Paiha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Karin Paiha more than expected).
Fields of papers citing papers by Karin Paiha
This network shows the impact of papers produced by Karin Paiha. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Karin Paiha. The network helps show where Karin Paiha may publish in the future.
Co-authors
The 25 scholars most cited alongside Karin Paiha, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 1999 | 354 | |
| 2 | 2002 | 251 | |
| 3 | 2003 | 82 | |
| 4 | 2000 | 66 | |
| 5 | 1999 | 61 | |
| 6 | 2004 | 52 | |
| 7 | 2001 | 44 | |
| 8 | 2003 | 17 | |
| 9 | 2006 | 3 |
About Karin Paiha
Karin Paiha is a scholar working on Cell Biology, Molecular Biology, Cellular and Molecular Neuroscience, Biophysics and Surgery, having authored 9 papers that have together received 930 indexed citations. Recurring topics across this work include Cellular transport and secretion (3 papers), Axon Guidance and Neuronal Signaling (2 papers), Cell Image Analysis Techniques (2 papers), Hippo pathway signaling and YAP/TAZ (2 papers), Glycosylation and Glycoproteins Research (1 paper), Ubiquitin and proteasome pathways (1 paper), Toxin Mechanisms and Immunotoxins (1 paper) and Neurobiology and Insect Physiology Research (1 paper). The work is most often cited by research in Cell Biology (425 citations), Developmental Neuroscience (83 citations), Cellular and Molecular Neuroscience (254 citations), Immunology and Allergy (75 citations) and Molecular Biology (616 citations). Karin Paiha has collaborated with scholars based in Austria, Germany and United States. Frequent co-authors include Lukas A. Huber, Hartmut Beug, Christoph Schwärzler, Heinz Schwarz, Ursula Günthert, Thomas Harder, Volker Gerke, Snezhana Oliferenko, David Teis and Barry J. Dickson. Their work appears in journals such as Journal of Biological Chemistry, The Journal of Cell Biology, EMBO Reports, Cell and Journal of Investigative Dermatology.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.